Deloitte – Quality Engineer
Job Description
As an entry-level Quality Engineer in the Analytics Horizontal team, you will help ensure the reliability, accuracy, usability, security, and performance of analytics solutions, including reports, dashboards, ETL and data pipelines, APIs, and AI-enabled applications. Working under the guidance of experienced quality engineers and in collaboration with developers, analysts, product owners, and business stakeholders, you will translate requirements and acceptance criteria into structured test scenarios, execute manual tests, validate data across source and target systems, document defects, and support regression and release testing. You will receive training on the team’s applications, analytics platforms, testing practices, and automation tools while building a strong foundation in quality engineering for enterprise analytics.
Responsibilities
Work with quality engineering leads, developers, analysts, and product owners to understand requirements, user stories, acceptance criteria, and business rules.
Prepare and maintain test scenarios, detailed test cases, test data, requirement traceability, and evidence for analytics solutions.
Execute functional, integration, system, regression, retesting, exploratory, user-interface, API, and end-to-end testing across reports, dashboards, data pipelines, and AI-enabled applications.
Validate reports and dashboards for data accuracy, calculations, filters, drill-downs, visual behavior, usability, access controls, exports, and performance.
Use SQL and source-to-target comparisons to verify data completeness, accuracy, consistency, transformations, reconciliations, refreshes, and exception handling across databases and analytics platforms.
Test ETL/ELT workflows, file and API integrations, scheduled jobs, and cloud-based data processes, including positive, negative, boundary, and failure scenarios.
Test AI-enabled application capabilities for functional correctness, response relevance, groundedness, guardrails, permissions, error handling, and consistent behavior using approved test data and expected outcomes.
Identify, document, prioritize, track, retest, and report defects with clear reproduction steps, supporting evidence, expected results, actual results, and business impact.
Support test automation by creating or maintaining reusable scripts for API, user-interface, data-validation, and regression testing under guidance.
Participate in Agile ceremonies, defect triage, test-status reporting, release-readiness activities, and post-release validation.
Maintain test suites, test data, quality metrics, and supporting documentation, and contribute ideas for improving test coverage and delivery quality.
